Site Reliability Engineer

Batch is a brand-first technology platform designed to amplify customer engagement, enable frictionless transactions, defend product authenticity, elevate customer loyalty, and ignite customer growth. Our mission is to provide seamless solutions that help businesses build stronger connections with their customers. With a focus on enhancing the customer experience, Batch delivers innovative technology that drives value and fosters long-term success.

Role Description

We are looking for a proactive

Site Reliability Engineer (SRE)

with strong hands-on experience in cloud infrastructure, automation, and system reliability. You will be responsible for building, maintaining, and optimizing highly available and scalable systems. The ideal candidate has expertise in

Kubernetes, AWS, Terraform / Terragrunt, and CI / CD pipelines

, along with solid scripting skills to automate operational tasks.

Key Responsibilities :

Design, deploy, and maintain

cloud infrastructure

(AWS) ensuring reliability, scalability, and security.

Manage and operate

Kubernetes clusters

, ensuring high availability and performance.

Implement

infrastructure as code

using

Terraform / Terragrunt

to automate provisioning and updates.

Develop and maintain

CI / CD pipelines

using

GitLab

for application deployment.

Write automation scripts in

Python

and

Bash

to streamline operational tasks and monitoring.

Manage

Docker-based deployments

, optimizing container performance and security.

Monitor and optimize

PostgreSQL databases

(including RDS) for performance, backup, and recovery.

Troubleshoot production issues and provide root cause analysis to prevent recurrence.

Collaborate with development and operations teams to improve system reliability, deployment processes, and infrastructure efficiency.

Implement

observability solutions

: logging, metrics, and alerts to ensure system health.

Required Skills & Experience :

3+ years

of professional experience in Site Reliability, DevOps, or Cloud Engineering roles.

Strong expertise in

Kubernetes

, including deployments, scaling, and cluster management.

Hands-on experience with

AWS services

(EC2, RDS, S3, IAM, CloudWatch, etc.).

Experience with

Terraform / Terragrunt

for infrastructure automation.

Proficient in

GitLab CI / CD pipelines

and version control workflows.

Strong scripting skills in

Python

and

Bash

for automation and operational tasks.

Experience with

Docker

containerization and orchestration.

Working knowledge of

PostgreSQL

and RDS management.

Strong problem-solving skills and attention to detail.

Good communication skills and ability to collaborate across teams.

Preferred Skills : Experience with

monitoring and observability tools

(Prometheus, Grafana, ELK Stack, etc.).

Familiarity with

microservices architectures

and cloud-native applications.

Understanding of

security best practices

in cloud infrastructure.

Experience with

event-driven architectures

and messaging systems (Kafka, RabbitMQ, etc.).

Benefits :

Competitive salary and benefits package.

Opportunities for career growth and professional development.

Work with cutting-edge cloud and DevOps technologies.

Collaborative and inclusive work environment.

Flexible work arrangements (if applicable).